Correlation Between SSMTF and BAB

Can any of the company-specific risk be diversified away by investing in both SSMTF and BAB at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining SSMTF and BAB into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between SSMTF and BAB Inc, you can compare the effects of market volatilities on SSMTF and BAB and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in SSMTF with a short position of BAB. Check out your portfolio center. Please also check ongoing floating volatility patterns of SSMTF and BAB.

Diversification Opportunities for SSMTF and BAB

0.0

Correlation Coefficient

SSMTF  BAB

Pay attention - limited upside

The 3 months correlation between SSMTF and BAB is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding SSMTF and BAB Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BAB Inc and SSMTF is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on SSMTF are associated (or correlated) with BAB. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BAB Inc has no effect on the direction of SSMTF i.e., SSMTF and BAB go up and down completely randomly.

Pair Corralation between SSMTF and BAB

If you would invest  0.15  in SSMTF on October 10, 2024 and sell it today you would earn a total of  0.00  from holding SSMTF or generate 0.0% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Flat
Strength	Insignificant
Accuracy	95.24%
Values	Daily Returns

SSMTF  vs.  BAB Inc

SSMTF

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days SSMTF has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable basic indicators, SSMTF is not utilizing all of its potentials. The current stock price disturbance, may contribute to mid-run losses for the stockholders.

BAB Inc

Risk-Adjusted Performance

3 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in BAB Inc are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. Despite somewhat uncertain fundamental drivers, BAB may actually be approaching a critical reversion point that can send shares even higher in February 2025.

Pair Trading with SSMTF and BAB

The main advantage of trading using opposite SSMTF and BAB positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SSMTF position performs unexpectedly, BAB can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in BAB will offset losses from the drop in BAB's long position.

The idea behind SSMTF and BAB Inc pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.